Staff Data Engineer
MongoDB
Staff Data Engineer at MongoDB is a full time role based in Gurugram, Haryana, India. It was published on 20 May 2026 and was open at last check.
| Role | Staff Data Engineer |
|---|---|
| Company | MongoDB |
| Location | Gurugram, Haryana, India |
| Employment type | Full Time |
| Published | 20 May 2026 |
| Status | Open at last check |
The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way.
We are looking to speak to candidates who are based in Gurgaon for our hybrid working model.
What you’ll do
- Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies
- Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture
- Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers
- Design and build AI agents that can help automate many of the common development and support tasks that the team performs
- Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place
- Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable
We’re looking for someone with
- 10+ years experience working on enterprise data lakes/warehouses
- 5+ years of Spark and Python experience
- 5+ years of direct hands-on experience working with AWS or GCP
- Thorough AI knowledge, particularly with codegen tools and agentic frameworks
- Hive, Iceberg, Glue, or other technologies that expose big data as tables
- Familiarity with different big data file types such as Parquet, Avro, and JSON
- Exposure to real-time or streaming data technologies is a plus
Success Measures
- In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem
- In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery)
- In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Create your free OnJob profile to apply — we'll take you to MongoDB's application after sign-up. · Posted 20 May 2026.
Staff Data Engineer at MongoDB — questions answered
What does the Staff Data Engineer role at MongoDB pay?
MongoDB does not publish a salary on this Staff Data Engineer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Staff Data Engineer role at MongoDB based?
MongoDB lists this Staff Data Engineer role in Gurugram, Haryana, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with MongoDB before you apply.
Is the Staff Data Engineer role at MongoDB still open?
The Staff Data Engineer posting at MongoDB was open at OnJob's last check of the employer's careers page, having been published on 20 May 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Staff Data Engineer role at MongoDB?
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